Indicators
Market tools I build and run privately, sentiment, positioning and regime signals. The computation stays off the public web; each page carries only the finished, live reading.
Smart money vs. dumb money, each scored 0 to 1 against its own past year. Extreme divergences have historically marked turning points.
Growth, profitability, returns versus their cost of capital, dividends and solvency, condensed to one verdict and a fair-value band.
Where capital is moving across ten cross-asset nodes, split into real demand and pure dollar effect.
Who reports each session this week, with every covered name carrying the verdict and margin of safety the model holds going into the print.
What the two-year Treasury says about where the Fed is going, against how steep the curve is while it says it, with what has followed each combination since 1976.
Two ways of asking whether houses are expensive: against their own long-run level versus rents, and against what today's cost of owning actually justifies. The distance between the two is what interest rates are doing to the answer.
How much of the S&P 500 is actually moving when the index moves: the share of members above their own averages, the advance-decline record, and whether gains are spreading or concentrating. Membership counted as it stood on each day.
What risky borrowers pay over safe rates, whether that gap is opening or closing, and whether banks are lending into it. Daily high-yield spreads, monthly long-memory context, and the quarterly survey of bank lending standards.
How much dollar liquidity sits inside crypto and whether it is growing: total stablecoin supply against its own history, the issuer mix, and whether that supply moves with traditional net liquidity or against it.
How much of gold's move the dollar and real rates explain, and how much came from something else. The last three months split into dollar, real-rate and inflation-expectation parts.